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    发表于 2011-7-16 22:28 |只看该作者 |倒序浏览
    |招呼Ta 关注Ta
    The First Wu Xi International Statistics Forum
    * y0 D% m3 A* ?2 [July 17-19, 2011
    ! O! ^: T8 x+ J1 `Hubin Hotel, Wu Xi, China4 [9 M" s( G5 T, H6 O+ N/ I9 y* l

    8 @6 `/ m# r- P' bConference Program# Q, z" ]7 k; ^
    Sunday, July 17th
    3 R5 O3 F) ^; X7 {( s* G9 A' F+ ]4 K9 O/ R* [& ~8 u
    10:00 – 10:10                Opening remark (Jun Liu)
    + \1 T8 @! @/ ?' T$ a10:10 – 10:20                Official remark
    - \& C! r1 ]" s& K% f. X8 s! W/ G10:20 – 10:30                Introduction to plenary speaker (Jun Liu)               
    ! r! D: u" ?4 M# j4 ^1 g; r* V, X10:30 – 11:30                 Plenary Speech (Don Rubin)
    $ F3 n- b* d1 G6 x2 N, f: h4 A6 y+ x  s7 l0 ?" W
    11:30                         Lunch
    ! S- g) h  x3 a/ o" r* l) o( j( c( k5 K- |
    1:00 – 3:00                 Parallel session I
    0 q5 P4 t+ [3 `) ~& k" g' ~7 R; e; b0 Z8 b1 ~
    A (Chair: Min Tang):0 ]$ ~4 m6 m. e' B! \
    1:00 – 1:30                Adaptive Score Test for the Effects of Genetic Marker Sets
    4 Q1 T  B) a( u8 tXihong Lin
      q" a5 A: E" ]- G( b) U1:30 – 2:00                On computation with the accelerated failure time model
    $ Y  P' k( c/ X2 UYijian Huang. `% u6 b! y" A0 Q5 C1 A; @
    2:00 – 2:30                A Rank-Based Test for the Comparison of Multidimensional Outcomes! z* O% g; L/ p" ?
    Kai Fun Yu
    & @" O+ j1 S& p# G  K2:30 – 3:00                Extending the Scope of Partial F-Test to High Dimensional Data
    5 K6 G1 }4 k6 S" V* r8 [2 C# v4 ?Hansheng Wang        ( V; M$ I$ _! ^1 w
    6 F+ b8 C8 ^) \
    B (Chair: Jin Yong):
    + k2 J$ v/ x6 ^+ {6 Q4 V1:00 – 1:30                TBA
    0 n& c+ c  e( lYing Yang$ v1 U: u+ {* _& h. ~. y% a- `
    1:30 – 2:00        Bayesian analysis of generalized semiparametric linear mixed models using the Dirichlet process prior and P-spline& e3 F8 @4 j+ I0 [+ K* N" T) D
    Niansheng Tang
    7 N4 P& ~7 V3 c1 E7 r% e  I4 |1 Y2:00 – 2:30        Normal and Compound Poisson Approximations for the Number of PatternApproximations for the Number of Pattern Occurrences in High-throughput Sequence Reads
    ( I/ i- T8 N( w0 W% n+ A6 D1 GYihui Luan6 ^8 z+ [% m3 }" ?! u$ D- g  J/ s8 h
    2:30 – 3:00                Structural dimensional reduction for high-dimensional data analysis
    , z2 b' ~% q5 J# A& d6 MJianhua Guo+ ]0 l$ y' T! M2 B9 t- z
    3:00 – 3:15                Tea break
    3 ^' Y7 c4 \& \7 Q; B* k. _/ }7 w  y; J5 i
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    ( h7 M( \5 M( [
    6 j1 ?  `4 M0 c
    Sunday, July 17th& I) F. e2 a9 e/ S" ?7 k( O( S( o. B
      S- F2 q, F  @
    3: 15 – 5:15                Parallel session II% s+ P$ i) h  R$ f9 P; v
    9 y8 [% a9 S; M$ Y
    A (Chair: Fangzhou Yao):
    " m, W9 _, i3 [6 t% @: v3:15 – 3:45                Genomic and Epigenomic Profiling to Understand Disease Risks
      G* o$ P8 A8 L" Z% I' A- I& yXiaole Liu' l0 d  R# w, n
    3:45 – 4:15                TBA5 G  i& a% v1 e* h( Q9 a
    Xuegong Zhang
    + F' e4 j2 O/ J7 z4:15 – 4:45        Combining Exploration and Exploitation Strategies in Adaptive MCMC for Bayesian Inference
    / @  z8 h, g% \5 {0 f( YScott Schmidler
    $ q8 H7 a) {( {; z4:45 – 5:15        A Bayesian clustering approach for partitioning the conformational space of biomolecules
    ) m4 m* C% Z6 x% O& l$ v. a. Y! I5 ?Xiaodan Fan
    : W" T& P' ]+ U2 z, E' H
    ' g7 V' E; L8 U4 f/ d7 lB (Chair: Wei Lan):6 F2 m7 M/ O$ ~/ i! ?: T" V/ N+ x
    3:15 – 3:45                TBA
    ( B: a% M3 n9 n- ]Lijian Yang1 ^( g' `3 ]1 Z/ J( i$ D
    3:45 – 4:15                Instability of Predictability of Asset Returns' b) D% K- |! E/ U  ]; E4 }
    Zongwu Cai
    9 |6 a% Q: `* \: h6 j. F" ?* k9 e4:15 – 4:45                Jackknife Empirical Likelihood Method for Copulas  F7 G1 d6 I9 T& t6 s
    Yongcheng Qi, i: K2 r- R* J3 v: t
    4:45 – 5:15                Interval estimation for the tail index of a GARCH(1,1) model( o7 [5 d7 L% h# T; _
    Liang Peng
    - f" P0 s7 q6 x4 ~9 i$ k5 r4 m, W* o4 t, z. c* l
    5:30 – 8:00                 Poster session and light refreshment% m0 S! c0 K) q+ X) N8 D

      X3 v. d+ f6 {/ U6 x
    * ]/ K; m: Y% |/ I
    3 U9 `2 B. s5 QMonday, July 18th$ ~5 ~; w! \, a; q; }2 n7 ~

    & M! S: }! }. o, w1 H8:50 – 9:00                Introduction to plenary speaker (Sam Kou)               
    ( L, I$ T' c4 t4 U5 I# E- v9:00 – 10:00                 Plenary Speech (Brad Efron)5 b1 a: v# }! }  C6 ~% ~
    9 a& S9 U2 @. h3 P, y9 {* L* r
    10:00 – 10:15                Tea Break$ U( Z$ N. }1 y

    / U; P0 T4 I7 l2 d10:15 – 12:15                 Parallel session III 7 Y9 H( {) Y5 I

    * J$ r* L7 J% X) K1 Q$ N3 C; N) UA (Chair: Mengyang Gu):
    3 s$ v2 V% E! W# W7 }10:15 – 10:45                Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models* m( w; j, i9 C9 e$ W  N* I0 t" P
    Samuel Kou
    ) v1 p  n! Z+ r5 o# g0 @10:45 – 11:15                Subsampling for Feature Selection
    9 y: ~  q. K0 c/ A& DJiayang Sun, z1 F/ u+ H& L& _. p4 u
    11:15 – 11:45        On Hierarchical Bayesian Nonparametric Models for Social Network Analysis6 E5 k/ ]9 M5 r% Q
    Chunlin Ji* L% x+ |" b- `* m  b* k! r
    11:45 – 12:15                Penalized Least Squares Estimation with Weakly Dependent Data
    2 Y5 H+ p/ ~! P. CXin Tong: A& L, |9 g" V+ }% |
    12:15 – 12:45                TBA& z! x* G( B- E% e2 {( m
    Min Chen1 B) E; z4 [6 [4 H* W' J! v
      f' i& S' y- V/ B( w) E: d: U
    B (Chair: Hirose Yoshihiro):
    " P7 F6 I# y* ]6 Y10:15 – 10:45        Identification of candidate causal genes in complex diseases through an integrated analysis of genome-wide association study and expression quantitative trait locus mapping! I* r: O6 J0 L/ S
    Hao Li& ]- k" y8 @' ]1 f9 i
    10:45 – 11:15                TBA
    1 _5 e1 S4 x! L3 E2 f' h4 b) ?Edoardo Airioli, }  y( d7 a4 Q) O
    11:15 – 11:45                TBA
    & W% A5 i- K% d0 f' M) ~Yixue Li
    $ T# P7 x- Z" w  Z8 E7 y11:45 – 12:15                Statistical modeling of RNA-Seq data: y, m2 H5 q& |2 {: ]# f
    Wenxuan Zhong
    2 r( D' I. h3 ^) w12:15 – 12:45        Generalized Semiparametric Regression Models with Smooth Variance Function, with Application to Medical Cost Data  |7 ]; z" p* w  E) E
    Jinsong Chen* G' ]8 I/ b7 d; r+ X1 A
      z% h# o2 i2 d
    12:45                         Lunch+ A# C; \7 v3 C2 x
    8 K$ a5 d9 N0 H4 d( C
    2:00                        Excursion+ u: i- O7 L& G) n! _5 K

    : c9 k# t2 F7 Y  q% S0 N: M5 N 5 D3 I0 i! u$ X  |3 O* F: w" c
    Tuesday July 19th: ~# L% s; g3 l6 N

    , v- r. ?1 q8 Q8:50 – 9:00                Introduction to plenary speaker (Steve Qin)                ( \9 X  U; H7 V' L" H
    9:00 – 10:00                 Plenary Speech (Jianqing Fan)
    7 A# p1 `; R, l* Z6 \
    ' O  p; _( _% f% u- A8 q10:00 – 10:15                Tea Break
    : b( L0 G+ A) u  p( j8 v' d  {1 ?
    10:15 – 12:15                 Parallel session IV 0 l, n0 D7 @- _/ d
    , p, n6 M0 @  [  c; d( z5 b) \
    A (Chair: Rui Pan):
    : y. s( Y, W# H. J/ E10:15 – 10:45                TBA- P( w# r) H6 n1 h
    Jun Shao                7 E) X6 z; Y$ U
    10:45 – 11:15        On choosing the size of data perturbation in adaptive model selection via penalization
    5 ~( X0 Q9 w& v1 c7 [Hung Chen
    : A8 G" ]2 y9 \; Z/ b( k$ [11:15 – 11:45        Determining probability of germline mutations in family-based sequencing studies
    ) K" O* w/ L; T& ?4 [$ ]# O  ?Wenyi Wang 1 M$ ]! a! C3 z2 S: s3 Q7 n6 g( r
    11:45 – 12:15        Nonparametric Inference of Hemodynamic Response for fMRI data with Inhomogeneous Variances through Kernel Smoothing4 X4 I) H, e* F4 j7 q
    Tingting Zhang
    9 X4 r1 o( _' M7 B1 J$ f) C/ X, K
    B (Chair: Wenbao Yu):
    ' E. G1 N2 n6 y6 C/ J  K( S* F10:15 – 10:45        Generalized Measures of Correlation for Asymmetry, Nonlinearity in Economic Study and Beyond
    5 v2 ]. e2 S9 |7 |5 D) X6 PZhengjun Zhang: a' d$ w. o( ?; G! l
    10:45 – 11:15                Model Selection Principles in Misspecified Models; d( a9 _5 p" o6 p' P7 O7 y
    Jinchi Lv
    % `4 O- P. K/ m5 F9 @11:15 – 11:45                Statistical Analysis and Inference for Diffusion Tensor Imaging Data, g0 E0 w/ H2 D+ P& v$ D( p
    Chunming Zhang
    2 y2 H7 M: k. N- j11:45 – 12:15                Analysis of Zero-Inflated Count Data from an In Vivo Genotoxicity Test
    , y0 o5 K1 a" W( o4 k4 q& o, eSusan Portugal8 i0 w+ R$ A- ^$ Z0 n4 \
    + Z8 w1 S# C3 x' j) o
    12:15                         Lunch/ w; F/ ^+ V7 R: a. g9 G
    4 M& r6 ^2 e* O$ g* _5 Y  D

    1 U" x% M' t- ?+ C/ s; ^  n" zTuesday July 19th( B" k5 ~1 _7 V$ R' |" L

    . U5 ?+ I, `) f( }5 A8 t  ?2:00 – 4:30                 Parallel session V 0 X- n. U0 Z8 z1 P5 L

    4 W0 x* u6 u& R. B: LA (Chair: Mingche Su):
    + N9 g6 T( T. `, t2:00 – 2:00                Quantile Regression for Analyzing Heterogeneity in Ultra-high Dimension) z1 i$ d5 g: Q! f3 d
    Runze Li8 b8 J& M7 T7 u
    2:30 – 3:00                High Dimensional Multinomial Clustering
    5 `0 y. ~% ]1 C0 DJin Cao* V* l. @3 t( z. H
    3:00 – 3:30                Detecting Subclusters in Outliers * I+ e5 Z) C- L, N+ Z
    Dongseok Choi
    ) d+ u) V- a. U( M) `3:30 – 4:00        Application of multiple-indicator multiple-causes (MIMIC) models detected and adjusted for measurement bias in racial difference of religiosity between black and white older Americans
    ) _/ M, B* P2 n- r. z; bChengwu Yang: P" y) m1 u- K
    4:00 – 4:30        Improve estimation efficiency of marginal proportional hazards model by a partitioning method
    " \' h7 g) X. d! UWenjun Cui4 t5 I: u  R' J* |
    4:30 – 5:00        Bayesian Multivariate Ordinal Probit Analysis of China's Consumer Confidence Index Data$ j1 X* x) A; B
    Junni Zhang# Z2 ^" K  x- t5 ^2 V( y
    8 I$ Y9 a& `& y6 a! L
    B (Chair: Yuxiang Liu):( l8 v$ N1 F- d9 C) ?$ c
    2:00 – 2:00                Functional Additive Regression
    4 Z! m9 r# m4 X% j. E6 AYingying Fan4 A9 r7 F: J! \5 k& n
    2:30 – 3:00        Robust empirical Bayes inference by conditioning on rank with application to microarray data! }" K" e3 u, E7 N! r, O* }
    Jason Liao  G. ^0 i1 ]( |$ j9 @
    3:00 – 3:30                Estimation for the Single-index Models with Random Effects' r! v$ O1 K' D
    Zhen Pang
    9 r3 y" F) X: P7 E: `9 n4 B7 P: g3:30 – 4:00                Nonlinear time series
    ) e7 U; j2 R6 A* h# dFuxia Cheng
      i5 W2 @9 T0 ]. h# w- d" ]# U4:00 – 4:30        Jackknife empirical likelihood methods for risk measures and related quantities
    / g5 L/ S* A! w7 nRuodu Wang& k- Z$ x1 M/ a9 h2 T: `9 m

    : {: o. |# H8 i& x5:00                         Banquet # h6 n& {% l5 m2 q1 {/ K

    9 [8 f3 u1 G  e5 a
    ' [5 V( M8 A& @8 N3 b* g
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    要毛毛体力啊
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